We have an exciting opportunity for you to grow your software engineering career while building technology that safeguards the firm against market risk - with the support, scale, and mentorship to help you thrive.
Role DescriptionMarket Risk Technology is responsible for providing Risk Managers with the capability to assess the financial impact of various adverse market scenarios at a firm-wide level. This capability covers calculations, scenario analysis, analytics, reporting, and other tools and processes required to manage risk. Our team develops the firm's strategic Calculation (e.g., VaR, Stress, FRTB), Time Series, and Scenario Management platforms for Firmwide Market Risk, which integrate with front-office risk management systems.
Job Summary
As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you are part of an agile team that enhances, designs, and delivers software components of state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of the team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system - while building the skills and experience needed to grow in your role.
Job Responsibilities- Interfaces closely with the business, quantitative research analysts, and upstream and downstream technology teams across the firm
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Executes standard software solutions, design, development, and technical troubleshooting in an agile environment
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
- Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
Required Qualifications, Capabilities, and Skills- Professional development experience with the Python programming language
- Experience communicating with business-facing customers and technical teams
- Experience across the full Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Formal training or certification on software engineering concepts and applied experience
- Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, or documentation), with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred Qualifications, Capabilities, and Skills- Familiarity with advanced Python constructs
- Exposure to cloud technologies
- Exposure to Banking/Finance or Risk domains
